Effective modelling of hydrogen and energy recovery in microbial electrolysis cell by artificial neural network and adaptive network-based fuzzy inference system

Hosseinzadeh, A Zhou, JL Altaee, A

Baziar, M Li, D

Permalink

Open Access

Copyright Clearance Process

This item is open access.

The embargo period expires on 1 Nov 2022

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Hosseinzadeh, A
dc.contributor.author	Zhou, JL
dc.contributor.author	Altaee, A https://orcid.org/0000-0001-9764-3974
dc.contributor.author	Baziar, M
dc.contributor.author	Li, D
dc.date.accessioned	2020-08-08T09:08:19Z
dc.date.available	2020-08-08T09:08:19Z
dc.date.issued	2020-11
dc.identifier.citation	Bioresource Technology, 2020, 316, pp. 123967-123967
dc.identifier.issn	0960-8524
dc.identifier.uri	http://hdl.handle.net/10453/142024
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Bioresource Technology
dc.relation.isbasedon	10.1016/j.biortech.2020.123967
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	Biotechnology
dc.title	Effective modelling of hydrogen and energy recovery in microbial electrolysis cell by artificial neural network and adaptive network-based fuzzy inference system
dc.type	Journal Article
utslib.citation.volume	316
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-11-01T00:00:00+1000Z
dc.date.updated	2020-08-08T09:07:42Z
pubs.publication-status	Accepted
pubs.volume	316

Please use this identifier to cite or link to this item: